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Querétaro

El Parque Tecnológico de Querétaro se encuentra en una zona estratégica conocida por su desarrollo urbano moderno, infraestructura empresarial y cercanía a vías de comunicación importantes en la ciudad de Querétaro.
 
La región se identifica por el crecimiento que ha tenido en los últimos años en los sectores industriales, comerciales y de servicios, teniendo como mayor referencia la industria agroalimentaria, manufacturera y aeroespacial.

Casos de éxito

El Parque de Querétaro ha sido un catalizador de historias de éxito tanto para la comunidad académica como para emprendedores externos. Entre los casos destacados se encuentran: 

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Ventagium Data Consulting:

A consulting firm specializing in data analysis.

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Huevocartoon Producciones:

A national company producing animated feature and short films.

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Armando Gutiérrez Rojo:

A graduate of the Computational Technologies Engineering program at Tecnológico de Monterrey, Querétaro campus. Through HAHN Automation, he completed a semester exchange as a "Software Engineering Intern" at their plant in Germany.

Eventos

El Parque de Querétaro tiene una fuerte presencia en eventos nacionales e internacionales que promueven la innovación y el emprendimiento. Entre los más destacados están:

  • Emprende Fest:
  • Cumbre Global de Innovación:

Espacios

El Parque de Querétaro cuenta con una infraestructura moderna y en constante crecimiento para satisfacer las necesidades de empresas y emprendedores. 

¡Contáctanos!

Parque Tecnológico Querétaro:

Contacto: rcossio@tec.mx 

San Luis Potosí

The Entrepreneurship and Innovation Park established in San Luis Potosí is located in the heart of the country, with a growing automotive industry that has positioned it as a key player in the innovation of this sector.

Success Stories

The Entrepreneurship and Innovation Park has been a catalyst for success stories both for the academic community and external entrepreneurs. Notable cases include: 

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Mike Ortiz:

Founder of Kool Toons. Director and winner of the Ibero-American Film Award.

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FINERN:

A Chinese company specializing in IoT and Industry 4.0.

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APEX:

A leader in simulation and training for the industry. EXATEC Ramiro Fidalgo is its founder.

Events

 

 

Facilities

The Entrepreneurship and Innovation Park boasts modern, continuously expanding infrastructure designed to meet the needs of businesses and entrepreneurs. 

  •  Corporate Spaces
  • Offices
  • Dedicated Spaces
  • Coworking
  • Common Areas
  • Meeting Rooms
  • Event Rooms
Contact

Parque Tecnológico San Luis Potosí:

Contact: rafael.tristan@tec.mx

San Luis Potosí

 El Parque de Emprendimiento e Innovación establecido en San Luis Potosí se encuentra situado en el centro del país, con una creciente industria automotriz que lo ha llevado a posicionarse como un actor relevante en la innovación de este sector. 

Casos de éxito

El Parque de Emprendimiento e Innovación ha sido un catalizador de historias de éxito tanto para la comunidad académica como para emprendedores externos. Entre los casos destacados se encuentran: 

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Mike Ortiz:

Founder of Kool Toons. Director and winner of the Ibero-American Film Award.

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FINERN:

A Chinese company specializing in IoT and Industry 4.0.

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APEX:

A leader in simulation and training for the industry. EXATEC Ramiro Fidalgo is its founder.

Eventos

 

 

Espacios

El Parque de Emprendimiento e Innovación cuenta con una infraestructura moderna y en constante crecimiento para satisfacer las necesidades de empresas y emprendedores.

¡Contáctanos! 

  •  Espacios corporativos
  • Oficinas
  • Espacios dedicados
  • Coworking
  • Espacios comunes
  • Salas de juntas
  • Salones para eventos
  • Terrazas
  • Cocinetas
Contáctanos

Parque Tecnológico San Luis Potosí:

Contacto: rafael.tristan@tec.mx

Ethics and Fundamentals of AI

Ethics and Fundamentals of AI
Ethics and Fundamentals of AI

Responsible AI: Ethical Use

At Tec de Monterrey, we see technology as a powerful ally in achieving our educational goals. When used correctly, it facilitates access to information, creates knowledge, and opens doors to learning and social well-being. AI holds enormous potential to benefit our community, provided it is used ethically and responsibly in the educational processes, projects, and activities of our institution. 

As technology advances, we face significant challenges, such as ensuring data quality and understanding its impact on decision-making. While AI complements human work and boosts efficiency, it is crucial to use it responsibly to avoid biases and maximize its benefits. For this reason, we have created resources and guidelines to guide the ethical use of AI tools in teaching and learning processes.

See the guidelines here

The Future of AI

In recent years, AI has advanced significantly thanks to neural networks and large volumes of data. However, some experts believe that simply increasing the size of models will no longer yield significant benefits, calling for more creative ways to improve

Access to quality data is crucial for AI’s progress. Fields like biology and healthcare hold immense potential. Visual and video data will unlock new opportunities in areas like medicine, robotics, and automation. 

Another trend is the development of autonomous agents—systems that make decisions and adapt in real-time—revolutionizing sectors like logistics and education with smarter solutions. 

While we will see advancements in visual models with applications in medicine and security, challenges remain, including improving interaction with the physical world and common-sense reasoning. Tec de Monterrey is committed to preparing new generations to lead in this field, ensuring the ethical and fair development of AI


Source: World Economic Forum (2024). The Expanding Universe of Generative Models [Video]. URL: https://www.weforum.org/events/world-economic-forum-annual-meeting-2024/sessions/the-expanding-universe-of-generative-models 

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Myths and Realities of AI

Artificial intelligence (AI) has become one of the most transformative technologies in recent years, driving significant advancements across various fields and generating widespread discussion. However, its rapid development has also led to misconceptions and myths. It’s essential to separate reality from false beliefs to better understand what AI can and cannot do. 

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Myths

"AI will replace all human jobs." 
While automation will impact some jobs, AI won’t eliminate most occupations; it will transform them. Many professions requiring complex skills, creativity, or empathy will still need people.

"AI makes decisions completely on its own without human input." 
This is not true. AI operates under human supervision and within the boundaries set by programmers.

"AI has emotions and self-awareness." 
AI lacks consciousness or feelings. It processes data and responds to patterns but doesn’t “feel” or “think” like humans. 

"AI is always objective and unbiased." 
Not entirely. AI can reflect the biases present in the data it’s trained on, leading to ethical concerns. 

"Only tech experts can understand AI." 
While creating AI requires advanced technical skills, you don’t need to be a data scientist to learn how to use it. People from various fields can apply it to their work. 
 

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Realities

AI is revolutionizing many industries. 
From medicine to education, AI is changing how things are done. For example, it helps detect diseases with greater accuracy and personalizes learning methods in education.

AI needs good data to perform well. 
The quality of AI’s output depends directly on the data it’s trained with. Incomplete or flawed data leads to unreliable results.

Today’s AI isn’t universal.
Most current AI applications are designed for specific tasks and cannot perform beyond their programming.

AI usage raises ethical challenges. 
Issues like privacy, fairness, and accountability must be addressed with an ethical approach.

AI complements human work.
Rather than replacing people, AI enhances efficiency, enabling workers to focus on more creative or complex tasks. This makes AI a tool that adds value rather than taking it away. 

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Sources

Benhamou, S. (2022). The Transformation of Work and Employment in the Age of Artificial Intelligence: Analysis, Examples, and Questions. CEPAL.

Russell, S., & Norvig, P. (2020). Artificial Intelligence: A Modern Approach (4th ed.). Pearson. 

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Ética y Fundamentos de IA

Ética y Fundamentos de IA

Responsible AI: Ethical Use

At Tec de Monterrey, we see technology as a powerful ally in achieving our educational goals. When used correctly, it facilitates access to information, creates knowledge, and opens doors to learning and social well-being. AI holds enormous potential to benefit our community, provided it is used ethically and responsibly in the educational processes, projects, and activities of our institution. 

As technology advances, we face significant challenges, such as ensuring data quality and understanding its impact on decision-making. While AI complements human work and boosts efficiency, it is crucial to use it responsibly to avoid biases and maximize its benefits. For this reason, we have created resources and guidelines to guide the ethical use of AI tools in teaching and learning processes.

See the guidelines here

The Future of AI

In recent years, AI has advanced significantly thanks to neural networks and large volumes of data. However, some experts believe that simply increasing the size of models will no longer yield significant benefits, calling for more creative ways to improve

Access to quality data is crucial for AI’s progress. Fields like biology and healthcare hold immense potential. Visual and video data will unlock new opportunities in areas like medicine, robotics, and automation. 

Another trend is the development of autonomous agents—systems that make decisions and adapt in real-time—revolutionizing sectors like logistics and education with smarter solutions. 

While we will see advancements in visual models with applications in medicine and security, challenges remain, including improving interaction with the physical world and common-sense reasoning. Tec de Monterrey is committed to preparing new generations to lead in this field, ensuring the ethical and fair development of AI


Source: World Economic Forum (2024). The Expanding Universe of Generative Models [Video]. URL: https://www.weforum.org/events/world-economic-forum-annual-meeting-2024/sessions/the-expanding-universe-of-generative-models 

Mitos y realidades

Mitos y realidades sobre la IA

La inteligencia artificial (IA) se ha convertido en una de las tecnologías más transformadoras de los últimos años, impulsando grandes avances en diferentes áreas y generando mucho de qué hablar. Sin embargo, su rápido desarrollo también ha dado pie a ideas erróneas y mitos. Por eso, es importante separar la realidad de las creencias equivocadas para entender mejor lo que la IA realmente puede y no puede hacer.

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Myths

"AI will replace all human jobs." 
While automation will impact some jobs, AI won’t eliminate most occupations; it will transform them. Many professions requiring complex skills, creativity, or empathy will still need people.

"AI makes decisions completely on its own without human input." 
This is not true. AI operates under human supervision and within the boundaries set by programmers.

"AI has emotions and self-awareness." 
AI lacks consciousness or feelings. It processes data and responds to patterns but doesn’t “feel” or “think” like humans. 

"AI is always objective and unbiased." 
Not entirely. AI can reflect the biases present in the data it’s trained on, leading to ethical concerns. 

"Only tech experts can understand AI." 
While creating AI requires advanced technical skills, you don’t need to be a data scientist to learn how to use it. People from various fields can apply it to their work. 
 

radio_button_unchecked radio_button_checked

Realities

AI is revolutionizing many industries. 
From medicine to education, AI is changing how things are done. For example, it helps detect diseases with greater accuracy and personalizes learning methods in education.

AI needs good data to perform well. 
The quality of AI’s output depends directly on the data it’s trained with. Incomplete or flawed data leads to unreliable results.

Today’s AI isn’t universal.
Most current AI applications are designed for specific tasks and cannot perform beyond their programming.

AI usage raises ethical challenges. 
Issues like privacy, fairness, and accountability must be addressed with an ethical approach.

AI complements human work.
Rather than replacing people, AI enhances efficiency, enabling workers to focus on more creative or complex tasks. This makes AI a tool that adds value rather than taking it away. 

radio_button_unchecked radio_button_checked

Sources

Benhamou, S. (2022). The Transformation of Work and Employment in the Age of Artificial Intelligence: Analysis, Examples, and Questions. CEPAL.

Russell, S., & Norvig, P. (2020). Artificial Intelligence: A Modern Approach (4th ed.). Pearson. 

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Gen Z Series | Paneles virtuales

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